Azure Data Engineering

As a data professional at DataZymes Analytics, you will be involved in setting up data pipelines in Azure, utilizing Azure Data Factory, and configuring Azure Data Lake with both structured and unstructured data. Your role will require you to be a self-starter who can independently design, develop, and deliver solutions efficiently. Your responsibilities will also include demonstrating a strong understanding of Azure services such as Azure Storage (AFS, Blob, Data Lake) and Azure Functions. Additionally, you should possess a solid knowledge of databases, enabling you to write complex queries and design schemas effectively. Your expertise in setting up CI/CD pipelines in Azure through GitHub will be crucial for ensuring seamless development processes. To excel in this role, you should hold a Bachelor's or Master's degree in Computer Science or Information Technology. Experience with batch job scheduling, identifying data or job dependencies, and proficiency in data warehousing, ETL, and big data processing will be advantageous. While familiarity with the Pharma domain is preferred, it is not mandatory. At DataZymes Analytics, we value accuracy, efficiency, and innovation. By leveraging the latest technologies and best practices, we aim to deliver high-quality solutions with fast turnaround times. If you are passionate about data analytics and are eager to contribute to a dynamic team that thrives on excellence, we welcome you to apply and join us on our journey of transforming data into actionable insights for our Life Sciences clients.,